The authors deal with the problem of detecting point-like targets in the presence of diffuse multipath under the assumption of a partially homogeneous Gaussian disturbance by introducing an unknown scaling factor which represents the mismatch between the noise contribution of the cell under test and the training samples. Also, they model the target echo as a superposition of direct plus multipath components where multipath returns are thought of as scattered signals from a glistening surface. Hence, multipath echoes are represented as a Gaussian distributed random vector with an unknown covariance matrix. Then, the authors derive a constrained generalised likelihood ratio test under the assumption that the primary data covariance structure is similar to the covariance matrix obtained from training samples where the degree of similarity is up to both noise scaling factor and multipath contribution. Besides, they prove that the proposed detector ensures constant false alarm rate (CFAR) property with respect to the unknown parameters. Finally, they compared the devised algorithm with the commonly used CFAR estimators. The results show that the proposed detector copes well with diffuse multipath conditions under partially homogeneous environments.

中文翻译：

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在部分同质环境中具有自适应检测功能的多径开发雷达

作者通过引入未知比例因子来表示在存在部分均质高斯干扰的情况下在存在弥散多径的情况下检测点状目标的问题，该比例因子表示被测细胞与训练样本的噪声贡献之间的不匹配。此外，他们将目标回波建模为直接加多径分量的叠加，其中多径返回被视为来自闪闪发光表面的散射信号。因此，多径回波被表示为具有未知协方差矩阵的高斯分布随机向量。然后，作者假设原始数据协方差结构与从训练样本获得的协方差矩阵相似（假设相似度取决于噪声缩放因子和多径贡献）而得出的约束广义似然比检验。此外，他们证明了所提出的检测器对于未知参数可确保恒定的误报率（CFAR）属性。最后，他们将设计的算法与常用的CFAR估计器进行了比较。结果表明，所提出的探测器可以很好地应对部分均质环境下的漫射多径条件。他们将设计的算法与常用的CFAR估算器进行了比较。结果表明，所提出的探测器可以很好地应对部分均质环境下的漫射多径条件。他们将设计的算法与常用的CFAR估算器进行了比较。结果表明，所提出的探测器可以很好地应对部分均质环境下的漫射多径条件。